from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from blur import convert
# Gaussian kernel
gaussian_kernel = [[1 / 256, 4 / 256, 6 / 256, 4 / 256, 1 / 256],
[4 / 256, 16 / 256, 24 / 256, 16 / 256, 4 / 256],
[6 / 256, 24 / 256, 36 / 256, 24 / 256, 6 / 256],
[4 / 256, 16 / 256, 24 / 256, 16 / 256, 4 / 256],
[1 / 256, 4 / 256, 6 / 256, 4 / 256, 1 / 256]]
image = np.array(Image.open("roi.jpg"))
gaussian_blur = Image.fromarray(np.uint8(convert(image, gaussian_kernel)))
gaussian_blur.save("gaussian_output.png")
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from blur import convert
#sharpening kernel
sharpening_kernel = kernel = [[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, -1, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25]]
image1 = np.array(Image.open("sharpen_input.png"))
sharpened = Image.fromarray(np.uint8(convert(image1, sharpening_kernel)))
sharpened.save("sharpened_image.png")
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from blur import convert
# Box Blur kernel
box_kernel = [[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25]]
image = np.array(Image.open("blur.jpeg"))
box_blur = Image.fromarray(np.uint8(convert(image, box_kernel)))
box_blur.save("box_blur.png")
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from blur import convert
# Weighted Average Filter
w_average_kernel = [[1/40, 1/40, 1/40, 1/40, 1/40],
[1/40, 1/40, 1/40, 1/40, 1/40],
[1/40, 1/40,16/40, 1/40, 1/40],
[1/40, 1/40, 1/40, 1/40, 1/40],
[1/40, 1/40, 1/40, 1/40, 1/40]]
image = np.array(Image.open("blur.jpeg"))
w_average_blur = Image.fromarray(np.uint8(convert(image, w_average_kernel)))
w_average_blur.save("weighted_average_blur.png")